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Bioinformatics (Oxford, England)|November 17, 2007
TMBpro: secondary structure, beta-contact and tertiary structure prediction of transmembrane beta-barrel proteinsArlo Randall, Jianlin Cheng, Michael Sweredoski, et al.Methods in Molecular Biology (Clifton, N.J.)|October 28, 2016
Assessing Predicted Contacts for Building Protein Three-Dimensional ModelsBadri Adhikari, Debswapna Bhattacharya, Renzhi Cao, et al.Nature Communications|November 15, 2022
Prediction of inter-chain distance maps of protein complexes with 2D attention-based deep neural networksZhiye Guo, Jian Liu, Jeffrey Skolnick, et al.Biorxiv : the Preprint Server for Biology|April 1, 2025
A Labeled Dataset for AI-based Cryo-EM Map EnhancementNabin Giri, Xiao Chen, Liguo Wang, et al.Bioinformatics (Oxford, England)|September 11, 2019
Analysis of several key factors influencing deep learning-based inter-residue contact predictionTianqi Wu, Jie Hou, Badri Adhikari, et al.Proteins|February 4, 2021
Combination of deep neural network with attention mechanism enhances the explainability of protein contact predictionChen Chen, Tianqi Wu, Zhiye Guo, et al.BMC Bioinformatics|January 26, 2021
DeepDist: real-value inter-residue distance prediction with deep residual convolutional networkTianqi Wu, Zhiye Guo, Jie Hou, et al.BMC Bioinformatics|December 7, 2016
DeepQA: improving the estimation of single protein model quality with deep belief networksRenzhi Cao, Debswapna Bhattacharya, Jie Hou, et al.Journal of Bioinformatics and Computational Biology|July 20, 2012
Recursive protein modeling: a divide and conquer strategy for Protein Structure Prediction and its case study in CASP9Jianlin Cheng, Jesse Eickholt, Zheng Wang, et al.Bioinformatics (Oxford, England)|September 15, 2018
GenomeFlow: a comprehensive graphical tool for modeling and analyzing 3D genome structureTuan Trieu, Oluwatosin Oluwadare, Julia Wopata, et al.Pageof 30